CCMSPilotsStructured content
See the CCMS work before you commit
A pilot on your own content proves the authoring experience before the license, scope, and budget are locked in.
Read insight Insights Notes from the
Notes from the
structured content field.
Practical thinking on CCMS pilots, structured content migration, authoring workflows, reuse, governance, and the operating decisions that make documentation systems work.
Latest thinking
Appearances
Talks, recordings, and field conversations.
Conference sessions, podcast appearances, panels, webinars, and recordings on structured content operations, CCMS pilots, migration strategy, and authoring systems.
Conference talk Confirmed
Ladies and Gentlemen, This Is Your Content Speaking
DITAWorld 2026 10:30am PT / 1:30pm ET
Structured Content as the Best Investment in Certification, Scale, and Safety
As a startup aerospace manufacturer, JetZero is building its first complete set of manuals required to support regulatory approval and demonstrate program maturity to investors and partners. With a lean documentation team of fewer than five people, including a pilot-author, and the advantage of a partner who brought in an aeronautical engineer who is also a professional information architect, the focus is clear: build it correctly from the beginning.
This case study explores the deliberate decision to implement structured content from Day One. Imagine DITA and AEM Guides, AI-supported conversion, metadata development, and consistency checks as part of the product lifecycle.
JetZero is investing early to prevent certification delays, rework, and communication gaps with flight crews. The objective is governed, reusable, configuration-aware content designed to scale as aircraft move from prototype to production, enabling documentation aligned with each aircraft as it comes off the assembly line.
Structured content is a long-term investment in certification confidence, operational clarity, and sustainable growth.
Key Takeaways
- Documentation enables real-world operations
- Documentation must stay aligned with engineering systems
- A CCMS is an essential tool for scale, governance, and reuse
- Content teams require structured, scalable approaches
- Early architecture decisions define long-term outcomes
- Consistency and reuse reduce risk and rework
- The right partners accelerate execution and scale
Conference talk Upcoming
AI, Human-in-the-Loop Content Operations, and Maintaining Content Ownership
ContentOPs 2026 10:00am PT / 1:00pm ET
With the race to adopt AI, where does human in the loop and the maintaining of content ownership fit in all of it?
AI, Human-in-the-Loop Content Operations, and Maintaining Content Ownership
Organizations are rapidly adopting AI across their content operations, from assisted authoring and content transformation to increasingly autonomous workflows driven by large language models and agentic systems. While these technologies offer significant opportunities for efficiency and scale, they also introduce new challenges around governance, transparency, cost management, and content ownership.
This session explores practical approaches to keeping humans involved in critical content decisions while still benefiting from AI-driven automation. Participants will learn how to evaluate where AI adds value, where deterministic processes remain essential, and how to design workflows that maintain accountability and traceability throughout the content lifecycle.
Drawing on real-world implementation experience, the session will examine common architectural patterns, including cloud-hosted and on-premise AI deployments, strategies for protecting sensitive information, and methods for reducing long-term operational costs. Attendees will leave with actionable guidance for building AI-assisted content operations that improve productivity without surrendering ownership of their organization’s knowledge and intellectual property.
Key Takeaways Identify where AI provides value and where human review remains essential. Evaluate content workflows for governance, transparency, and ownership risks. Understand the tradeoffs between cloud-hosted and on-premise AI deployments. Reduce operational costs through targeted and efficient AI usage. Design content operations that preserve organizational knowledge and intellectual property.